Overview
- Fundamental and thorough understanding in the neural network control system design
- Typical adaptive RBF neural controllers design and stability analysis are given in a concise manner
- Many engineering application examples for mechanical systems are given
- Matlab program of each controller algorithm is given in detail
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About this book
Radial Basis Function (RBF) Neural Network Control for Mechanical Systems is motivated by the need for systematic design approaches to stable adaptive control system design using neural network approximation-based techniques. The main objectives of the book are to introduce the concrete design methods and MATLAB simulation of stable adaptive RBF neural control strategies. In this book, a broad range of implementable neural network control design methods for mechanical systems are presented, such as robot manipulators, inverted pendulums, single link flexible joint robots, motors, etc. Advanced neural network controller design methods and their stability analysis are explored. The book provides readers with the fundamentals of neural network control system design.
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This book is intended for the researchers in the fields of neural adaptive control, mechanical systems, Matlab simulation, engineering design, robotics and automation.
Jinkun Liu is a professor at Beijing University of Aeronautics and Astronautics.
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Table of contents (11 chapters)
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Front Matter
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Back Matter
Authors and Affiliations
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Bibliographic Information
Book Title: Radial Basis Function (RBF) Neural Network Control for Mechanical Systems
Book Subtitle: Design, Analysis and Matlab Simulation
Authors: Jinkun Liu
DOI: https://doi.org/10.1007/978-3-642-34816-7
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Tsinghua University Press, Beijing and Springer-Verlag Berlin Heidelberg 2013
Hardcover ISBN: 978-3-642-34815-0Published: 27 January 2013
Softcover ISBN: 978-3-642-43455-6Published: 26 June 2015
eBook ISBN: 978-3-642-34816-7Published: 26 January 2013
Edition Number: 1
Number of Pages: XV, 365
Additional Information: Jointly published with Tsinghua University Press, Beijing
Topics: Control and Systems Theory, Vibration, Dynamical Systems, Control, Computational Intelligence, Mathematical Models of Cognitive Processes and Neural Networks